System identification from multiple-trial data corrupted by non-repeating periodic disturbances

• Autorzy: Minh Q. Phan , Richard W. Longman , Soo Cheol Lee , Jae-Won Lee
• Języki publikacji: EN

Abstrakty

EN

Iterative learning and repetitive control aim to eliminate the effect of unwanted disturbances over repeated trials or cycles. The disturbance-free system model, if known, can be used in a model-based iterative learning or repetitive control system to eliminate the unwanted disturbances. In the case of periodic disturbances, although the unknown disturbance frequencies may be the same from trial to trial, the disturbance amplitudes, phases, and biases do not necessarily repeat. Furthermore, the system may not return to the same initial state at the end of each trial before starting the next trial. In spite of these constraints, this paper shows how to identify the system disturbance-free dynamics from disturbance-corrupted input-output data collected over multiple trials without having to measure the disturbances directly. The system disturbance-free model can then be used to identify the disturbances as well, for use in learning or repetitive control. This paper represents the first extension of the interaction matrix approach to the multiple-trial environment of iterative learning control.

Słowa kluczowe

EN

interaction matrix; iterative learning control; disturbance identification; system identification; repetitive control

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2003
• Tom: 13
• Numer: 2
• Strony: 185-192

Daty

wydano

2003

otrzymano

2002-10-27

Twórcy

autor

Minh Q. Phan

• Thayer School of Engineering Dartmouth College, Hanover, NH 03755, USA

autor

Richard W. Longman

• Department of Mechanical Engineering Columbia University, New York, NY 10027, USA

autor

Soo Cheol Lee

• Department of Automotive, Industrial, and Mechanical Engineering Taegu University, Kyungsan, Kyungbuk 712-714, Korea

autor

Jae-Won Lee

• Department of Mechanical Engineering, Yeungnam University, Kyungsan, Kyungbuk 712-714, Korea

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